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 inovis available supply chain data

Browse RFP templates

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Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

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Supply Chain Event Management RFI/RFP Template

Monitor and Resolve,Integration,Business Intelligence and Reporting,Business Applications Catalogue,Data Management,Architecture, Product Technology 

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Documents related to » inovis available supply chain data

Actionable Supply Chain Intelligence: Leveraging the Services Hub


There’s no doubt that competing in today’s global marketplace is tough. In order to survive, organizations must become more aware of what’s going on throughout their supply chain. While many realize the importance of supply chain visibility, some businesses aren’t sure exactly how to achieve it. Find out the five things you’ll need to put together a visibility solution that’ll give you timely, accurate, and useful data.

inovis available supply chain data  a pretty basic definition. Inovis defines visibility as something that 1) gives you the kind of information you need '' when you need it and in the right context '' to make solid business decisions, 2) can drill down into the violation details to determine root cause and 3) provides tools that present that information in such a way so that you not only can make those decisions but also act on them immediately. Visibility really is Actionable Intelligence. With right-time data appearing on a real-time Read More

B2B E-business in the Supply Chain: New Services and Technologies Require Companies to Reevaluate Their Strategies


IT groups aspire to standardize on common integration platforms, but the pressure to integrate with business partners quickly often forces companies to favor expediency over strategy. With so many technology choices, it’s important to understand the role each can play when building an overall business-to-business (B2B) strategy. Learn about the four points you should consider when evaluating vendors and service providers.

inovis available supply chain data  and global trade management Inovis for procurement performance management EAI vendors are also expanding out past the four walls of the enterprise to operate in the trading community. With most service providers typically focused on a particular business process and community, one question begs to be asked: Will there ever be a service deployed using the SaaS model that could become the B2B e- business hub for an entire enterprise? Crossgate , which lays claim to 3,000 customers and a network of 34,000 Read More

Inovis Delves into PIM by Snatching QRS Part One: Event Notes


The termination of QRS' merger with JDA Software opened a window of opportunity for business commerce automation provider Inovis to acquire QRS, indicating a potential shift in its traditional strategy of B2B e-commerce connectivity (i.e., to drive its offerings well behind the enterprise firewalls).

inovis available supply chain data  To address these challenges, Inovis embedded new features and functionality into the BizManager suite of solutions to provide a central point of management, allowing organizations to more easily manage trading partner relationships and measure business performance on one accessible platform. Inovis'' BizManager suite is a web-based solution available for trading partner and business messaging, connectivity, and integration, which includes managing the flow and secure transport of electronic data, Read More

Inovis MESH Framework for Dial Tone Business Communities


When it comes to business-to-business (B2B) communications, two of the basic requirements for regulatory compliance are having a reliable network and a high quality dial tone. So why would you want to settle for anything less? To ensure that both are obtained, many companies are entrusting their data—and their compliance responsibilities—to the Inovis Multienterprise Expert Services Hub (MESH) platform. Find out why.

inovis available supply chain data  the following benefits: The Inovis network is expected to be available 99.995 percent of the time, with a total of only 24 minutes of unplanned downtime annually; Applications are designed and expected to be available 99.999 percent of the time; There are no single points of failure in the self-healing MESH platform; Customers can reduce their costs; Customers can enhance their regulatory-compliance efforts - with Inovis'' SAS-70 compliance; Can harden their security capabilities with managed community Read More

Case Study: Anchor Blue


Fashion retailer Anchor Blue was looking for a way to increase supply chain visibility, reduce costs, and shorten the time required to get products onto store shelves. The company implemented the Inovis AS2 software solution to consolidate data from multiple partners into a single view. Learn how the new electronic data interchange (EDI) system helped reduce transaction costs and get merchandise into stores faster.

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Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

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Data Blending for Dummies


Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant.

Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data providers, department data stores, in-house databases, and more, and become faster at delivering better information and results to their organizations. In the past, the challenge for data analysts has been accessing this data and cleansing and preparing the data for analysis. The access, cleansing, and preparing data stages are complex and time intensive. These days, however, software tools can help reduce the burden of data preparation, and turn data blending into an asset.

Read this e-book to understand why data blending is important, and learn how combining data means that you can get answers to your business questions and better meet your business needs. Also learn how to identify what features to look for in data blending software solutions, and how to successfully deploy these tools within your business. Data Blending for Dummies breaks the subject down into digestible sections, from understanding data blending to using data blending in the real world. Read on to discover how data blending can help your organization use its data sources to the utmost.

inovis available supply chain data  data blending, data analyst, data source, data analysis, data software, data cleansing, data access, data blending software Read More

Don't Be Overwhelmed by Big Data


Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect of more data that can be used to better understand the who, what, why, and when of consumer purchasing behavior, it’s critical CPG organizations pause and ask themselves, “Are we providing retail and executive team members with “quality” data, and is the data getting to the right people at the right time? Big Data can be a Big Deal - read this white paper for some useful tips on ensuring secure, quality data acquisition and management.

inovis available supply chain data  big data white paper, consumer packaged goods, CPG industry, CPG big data, big data CPG, data acquisition CPG, CPG data acquisition, data CPG, CPG data, CPG LumiData Read More

Reinventing Data Masking: Secure Data Across Application Landscapes: On Premise, Offsite and in the Cloud


Be it personal customer details or confidential internal analytic information, ensuring the protection of your organization’s sensitive data inside and outside of production environments is crucial. Multiple copies of data and constant transmission of sensitive information stream back and forth across your organization. As information shifts between software development, testing, analysis, and reporting departments, a large "surface area of risk" is created. This area of risk increases even more when sensitive information is sent into public or hybrid clouds. Traditional data masking methods protect information, but don’t have the capability to respond to different application updates. Traditional masking also affects analysis as sensitive data isn’t usually used in these processes. This means that analytics are often performed with artificially generated data, which can yield inaccurate results.

In this white paper, read a comprehensive overview of Delphix Agile Masking, a new security solution that goes far beyond the limitations of traditional masking solutions. Learn how Delphix Agile Masking can reduce your organization’s surface area risk by 90%. By using patented data masking methods, Delphix Agile Masking secures data across all application lifecycle environments, providing a dynamic masking solution for production systems and persistent masking in non-production environments. Delphix’s Virtual Data Platform eliminates distribution challenges through their virtual data delivery system, meaning your data can be remotely synchronized, consolidated, and takes up less space overall. Read detailed scenarios on how Delphix Agile Data Masking can benefit your data security with end-to-end masking, selective masking, and dynamic masking.

inovis available supply chain data  Delphix Agile Masking, data masking, data security, security concerns, production environments, masking solution Read More

Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond


For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.

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Informatica PowerCenter 5 Enables Enterprise Data Integration


Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data warehouses, including a wide range of data sources, from enterprise resource planning (ERP) systems such as SAP R/3 and PeopleSoft, to web logs and Siebel applications. Market validation of its offerings is shown in a record Q4 of 2000, with a 150% increase in revenue over the previous year.

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Enterprise Data Management: Migration without Migraines


Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more.

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Governance from the Ground Up: Launching Your Data Governance Initiative


Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

inovis available supply chain data  data governance,data governance best practices,data governance model,data governance institute,what is data governance,data governance framework,data governance roles and responsibilities,data governance definition,data governance strategy,data governance software,data governance conference 2010,data governance maturity model,master data governance,data governance tools,data governance charter Read More